Lexicon Pharmaceuticals (LXRX) Non-Current Assets (2010 - 2026)
Lexicon Pharmaceuticals' Non-Current Assets came in at $53.48 million for Q2 2026, down 33.6% from $80.5 million a year earlier and down 35.4% from the prior quarter.
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Analysis
Lexicon Pharmaceuticals (LXRX) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Lexicon Pharmaceuticals' Non-Current Assets was $83.09 million, up 59.1% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $52.23 million in FY2024 (-1.2%), $52.88 million in FY2023 (-1.0%), $53.43 million in FY2022 (+11.3%) and $47.99 million in FY2021 (+4.2%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets since Q1 2025.
- Year-over-year, Non-Current Assets increased in four of the last eight quarters, with growth averaging 24.2%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q1 2026 (growth of 59.6%), and the weakest in Q2 2026 (a decline of 33.6%).
- Business Quant data shows LXRX's Non-Current Assets at $82.79 million (Q1 2026), $83.09 million (Q4 2025) and $83.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Lexicon Pharmaceuticals | 849.05 Mn | 275.61 Mn | 653,000.00 | 53.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 53.48 Mn |
| Mar 31, 2026 | 82.79 Mn |
| Dec 31, 2025 | 83.09 Mn |
| Sep 30, 2025 | 83.40 Mn |
| Jun 30, 2025 | 80.50 Mn |
| Mar 31, 2025 | 51.87 Mn |
| Dec 31, 2024 | 52.23 Mn |
| Sep 30, 2024 | 52.52 Mn |
| Jun 30, 2024 | 52.51 Mn |
| Mar 31, 2024 | 52.57 Mn |
| Dec 31, 2023 | 52.88 Mn |
| Sep 30, 2023 | 53.11 Mn |
| Jun 30, 2023 | 53.00 Mn |
| Mar 31, 2023 | 53.17 Mn |
| Dec 31, 2022 | 53.43 Mn |
| Sep 30, 2022 | 52.62 Mn |
| Jun 30, 2022 | 47.43 Mn |
| Mar 31, 2022 | 47.75 Mn |
| Dec 31, 2021 | 47.99 Mn |
| Sep 30, 2021 | 48.33 Mn |
API Access
Lexicon Pharmaceuticals Non-Current Assets API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-current-assets&ticker=LXRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "LXRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=LXRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();